I think it is: From my personal experience, it's the orgs that fail much more so than the technology. If you have a few capable engineers with AI that are able to think strategically and prod the agents from the right angle, you can move ridiculously fast.
Code quality improves month by month, and by now I rarely have complaints in PR reviews, even if I read through them manually, line by line. For the most part, it's how I would write it myself, only that I would have been slower, and not as motivated to test it so thoroughly.
The key is IMHO giving the agents a way to verify their results in a feedback loop as short as possible, along with few instructions for the important guardrails, and a way to organise efficiently (a ledger, a GitHub repository with issues, Linear, Jira, whatever.) With that, you can tend to 3-5 parallel sessions to avoid waiting, and actually get stuff done fast.
Code quality improves month by month, and by now I rarely have complaints in PR reviews, even if I read through them manually, line by line. For the most part, it's how I would write it myself, only that I would have been slower, and not as motivated to test it so thoroughly.
The key is IMHO giving the agents a way to verify their results in a feedback loop as short as possible, along with few instructions for the important guardrails, and a way to organise efficiently (a ledger, a GitHub repository with issues, Linear, Jira, whatever.) With that, you can tend to 3-5 parallel sessions to avoid waiting, and actually get stuff done fast.